These, having greatly evolved over the past few years, now place Big Data tools at the forefront of SEO strategies. The relationship between Google and Big Data Since the appearance of the Internet, several search engines have emerged. The latter have tried to establish themselves as tools capable of listing web pages in order to improve the user's experience. Very quickly, Google was able to capture the largest share of this market with a more than promising future. In November 2016, it alone holds 93% of searches on the internet. More than 5 billion queries are thus carried out daily, giving even more credibility to the search engine. It was then that Big Data tools began to impose themselves to improve the process of positioning web pages on Google.
Optimizing SEO: a complex process The ranking of pages on Google obeys a constantly evolving algorithm. This indexing system is designed to provide users with content that fax list matches their search. This is a strategy that makes the web pages present on the web coincide as closely as possible with the request made by the Internet user. SEO optimization is not easy, especially if you are new to SEO. Several techniques must be implemented in order to appear in the first search results on Google: The length of the article (min 1500 words.
The use of keywords in the title and meta description Avoid keyword stuffing Use a professional design Bring variety by introducing infographics in the textual parts Namely : Natural referencing is a long and complex process. It is impossible for a site to appear in the first results of Google as soon as it is launched unless it is the precursor in a given niche. (Otherwise, SEO must be worked on upstream) How to use Big Data tools to optimize SEO? Big Data tools and SEO tools work simultaneously. It is true that the free software offered by Google is able to improve your natural referencing.